--- title: "Langchain-Chatchat vs langroid" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chatchat-space-langchain-chatchat-vs-langroid-langroid" tools: ["chatchat-space-langchain-chatchat", "langroid-langroid"] --- # Langchain-Chatchat vs langroid *GraphCanon updated Aug 7, 2026* ## Verdict Pick Langchain-Chatchat if langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama; pick langroid if langroid specializes in multi-agent systems with large language models, providing a Python framework for function-calling and chat integrations. [Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) reports 39k GitHub stars, 6.3k forks, and 25 open issues, last pushed Nov 10, 2025. [langroid](https://langroid.github.io/langroid/) has 4.1k stars, 390 forks, and 75 open issues, last pushed Jul 29, 2026. Figures are from public GitHub metadata via [Langchain-Chatchat's repository](https://github.com/chatchat-space/Langchain-Chatchat) and [langroid's repository](https://github.com/langroid/langroid). | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [langroid](/tools/langroid-langroid.md) | | --- | --- | --- | | Tagline | Local knowledge-based RAG and Agent app using Langchain and various LLMs | Harness LLMs with Multi-Agent Programming | | Stars | 38,522 | 4,090 | | Forks | 6,266 | 390 | | Open issues | 25 | 75 | | Language | Python | Python | | Adopt for | Langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama. | Langroid specializes in multi-agent systems with large language models, providing a Python framework for function-calling and chat integrations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Data & Retrieval, LLM Frameworks | AI Agents, Data & Retrieval, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Langchain-Chatchat](/tools/chatchat-space-langchain-chatchat.md) | [langroid](/tools/langroid-langroid.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 270d | 8d | | Open issues (now) | 25 | 75 | | Stars delta | +254 (30d) | Unknown | | Open issues delta | +2 (30d) | Unknown | | Full report | [trust report](/tools/chatchat-space-langchain-chatchat/trust.md) | [trust report](/tools/langroid-langroid/trust.md) | ## Decision facts: Langchain-Chatchat - **Requirements:** - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services. - **Adopt for:** Langchain-Chatchat is a local RAG and agent chatbot application built using Langchain, supporting multiple language models like ChatGLM, Qwen, and Llama. - **License detail:** Apache-2.0 ## Decision facts: langroid - **Adopt for:** Langroid specializes in multi-agent systems with large language models, providing a Python framework for function-calling and chat integrations. ## Choose when ### Choose Langchain-Chatchat if… - License: Langchain-Chatchat is Apache-2.0, langroid is MIT. - Requirements: - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services.. - Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, langchain. - Also covers LLM Frameworks. - - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases. ### Choose langroid if… - License: langroid is MIT, Langchain-Chatchat is Apache-2.0. - Tags unique to langroid: agents, ai, chatgpt, function-calling. - Also covers Inference & Serving, Model Training. - langroid ships Docker support for self-hosted deployment. - You need to integrate multiple agents working with large language models. ## When NOT to use Langchain-Chatchat - - If your application requires real-time updates from the internet, as Langchain-Chatchat operates within a closed system without dynamic web retrieval capabilities. - - In scenarios where deploying through Docker and managing multiple services via docker-compose might be too complex or not feasible for your operational setup. ## When NOT to use langroid - You require support for a broad range of programming languages beyond Python. - The project scope does not include multi-agent interactions or function-calling capabilities. ## Common questions ### What is the difference between Langchain-Chatchat and langroid? Langchain-Chatchat: Local knowledge-based RAG and Agent app using Langchain and various LLMs. langroid: Harness LLMs with Multi-Agent Programming. See the comparison table for live GitHub stats and shared categories. ### When should I choose Langchain-Chatchat over langroid? Choose Langchain-Chatchat over langroid when License: Langchain-Chatchat is Apache-2.0, langroid is MIT; Requirements: - Access to a suitable computational environment (potentially with GPU support) for running the various language models.; - Docker deployment expertise, especially when using docker-compose for setting up multiple dependent services.; Tags unique to Langchain-Chatchat: chatbot, chatglm, docker, langchain; Also covers LLM Frameworks; - When you need a locally deployed chatbot that can provide contextual responses based on integrated knowledge bases. ### When should I choose langroid over Langchain-Chatchat? Choose langroid over Langchain-Chatchat when License: langroid is MIT, Langchain-Chatchat is Apache-2.0; Tags unique to langroid: agents, ai, chatgpt, function-calling; Also covers Inference & Serving, Model Training; langroid ships Docker support for self-hosted deployment; You need to integrate multiple agents working with large language models. ### When should I avoid Langchain-Chatchat? - If your application requires real-time updates from the internet, as Langchain-Chatchat operates within a closed system without dynamic web retrieval capabilities. - In scenarios where deploying through Docker and managing multiple services via docker-compose might be too complex or not feasible for your operational setup. ### When should I avoid langroid? You require support for a broad range of programming languages beyond Python. The project scope does not include multi-agent interactions or function-calling capabilities. ### Is Langchain-Chatchat or langroid more popular on GitHub? Langchain-Chatchat has more GitHub stars (38,522 vs 4,090). Stars measure visibility, not whether either tool fits your constraints. ### Are Langchain-Chatchat and langroid open source? Yes - both are open-source projects on GitHub (Langchain-Chatchat: Apache-2.0, langroid: MIT). ### Where can I find alternatives to Langchain-Chatchat or langroid? GraphCanon lists graph-backed alternatives at [Langchain-Chatchat alternatives](/tools/chatchat-space-langchain-chatchat/alternatives) and [langroid alternatives](/tools/langroid-langroid/alternatives) ([Langchain-Chatchat markdown twin](/tools/chatchat-space-langchain-chatchat/alternatives.md), [langroid markdown twin](/tools/langroid-langroid/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/chatchat-space-langchain-chatchat-vs-langroid-langroid.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Langchain-Chatchat or langroid? Langchain-Chatchat: Slowing. langroid: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Langchain-Chatchat and langroid? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Langchain-Chatchat trust report](/tools/chatchat-space-langchain-chatchat/trust); [langroid trust report](/tools/langroid-langroid/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat`](/api/graphcanon/graph?tool=chatchat-space-langchain-chatchat) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_